{"product_id":"recomputer-j2021-edge-ai-computer-with-nvidia®-jetson-xavier™-nx-8gb","title":"reComputer J2021 - Edge AI Computer with NVIDIA® Jetson Xavier™ NX 8GB","description":"\u003cp\u003e\n reComputer J2021 is preinstalled with Jetpack 4.6.1, simplifies development, and fit for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\n\u003c\/p\u003e\n\u003cp\u003e\n \u003c\/p\u003e\u003cdiv style=\"position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; margin: 10px 0;\"\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/Tl3MFiYhW6M\" frameborder=\"0\" allowfullscreen style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%;\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\n\n\u003cp\u003e\n \u003cspan style=\"font-weight: 400;\"\u003e\n  reComputer Jetson is compatible with the entire NVIDIA Jetson software stack, cloud-native workflows, industry-leading AI frameworks, helping deliver seamless AI integration.\n \u003c\/span\u003e\n\u003c\/p\u003e\n\u003ch2\u003e\n Features\n\u003c\/h2\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599739\" height=\"853\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/110061363_8358adce-b118-436c-804d-d00e21502b34.jpg?v=1754257731\" width=\"1283\"\u003e\n\u003c\/p\u003e\n\u003cul\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n  \u003cstrong\u003e\n   Hand-size edge AI device\n  \u003c\/strong\u003e\n  : built with Jetson Xavier NX 8GB Production Module, delivering 384 NVIDIA CUDA® cores delivers up to 21 TOPS AI performance with the small form factor of 130mm x120mm x 50mm.\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n  \u003cstrong\u003e\n   NVIDIA Jetson Xavier NX Dev Kit alternative\n  \u003c\/strong\u003e\n  : the carrier board brings rich IOs including Gigabit Ethernet port, 4 USB 3.1 Gen2 ports, HDMI port, and DP port\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n  \u003cstrong\u003e\n   Pre-installed NVIDIA JetPack\n  \u003c\/strong\u003e\n  : support entire\n  \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\"\u003e\n   Jetson software stack\n  \u003c\/a\u003e\n  and various\n  \u003ca href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\"\u003e\n   developer tools\n  \u003c\/a\u003e\n  for building fast and robust AI application provided by Seeed Edge AI partners, helps develop innovative AI solution for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n  \u003cstrong\u003e\n   Power-efficient\n  \u003c\/strong\u003e\n  : as little as 10 watts, delivering high performance, accurate, multi-modal AI inference at the edge.\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n  \u003cstrong\u003e\n   Expandable\n  \u003c\/strong\u003e\n  with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.\n \u003c\/li\u003e\n \u003cli\u003e\n  Comprehensive certificates\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\n DataSheet\n\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli\u003e\n  \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202x-datasheet.pdf\"\u003e\n   reComputer Jetson-J20-02x datasheet (seeedstudio.com)\n  \u003c\/a\u003e\n \u003c\/li\u003e\n \u003cli\u003e\n  \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-carrier-board-datasheet.pdf\"\u003e\n   reComputer Jetson-J202 datasheet (seeedstudio.com)\n  \u003c\/a\u003e\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\n \u003cb\u003e\n  Application: For next-gen autonomous machine\n \u003c\/b\u003e\n\u003c\/h3\u003e\n\u003cp\u003e\n \u003cspan style=\"font-weight: 400;\"\u003e\n  With edge AI developers can deploy machine learning models in solving demanding challenges for advanced robotics and autonomous machines in the fields:\n \u003c\/span\u003e\n\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Smart City: Traffic, Retail, Healthcare\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Industry 4.0: Manufacturing, Logistics, Deliver, Service\n  \u003c\/span\u003e\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"size-full wp-image-599661 aligncenter\" height=\"237\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/next-gen-autonomous-machine_04ac2b7f-6d94-4aa7-920a-6341db7be484.png?v=1754257734\" width=\"605\"\u003e\n\u003c\/p\u003e\n\u003ch3\u003e\n Power-efficient AI computer, compact rich I\/Os for Endless AI possibilities:\n\u003c\/h3\u003e\n\u003cp\u003e\n reComputer Jetson - 20 comes with Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB\/s of memory bandwidth, video encoded and decoded, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.\n\u003c\/p\u003e\n\u003cp\u003e\n Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W.\n\u003c\/p\u003e\n\u003ch3\u003e\n Powerful reference carrier board:\n\u003c\/h3\u003e\n\u003cp\u003e\n reComputer J2021 is built with\n \u003ca href=\"https:\/\/wiki.seeedstudio.com\/install_NVIDIA_software_to_Jetson-202\/\" rel=\"noopener\" target=\"_blank\"\u003e\n  J202 carrier board\n \u003c\/a\u003e\n , consisting of\n \u003cstrong\u003e\n  USB 3.2 gen 2 ports(4x), M.2 key E for WIFI\/BLE, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin.\n \u003c\/strong\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.\n\u003c\/p\u003e\n\u003ch3\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599772\" height=\"251\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Jetson-20-1-H1-board_3083dfec-cdd7-4827-83f3-59e5f2334bae.png?v=1754257736\" width=\"517\"\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599769\" height=\"232\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Jetson-20-1-H1-board-back_767b3e3e-1bab-4e9d-981c-8fbd287252b8.jpg?v=1754257737\" style=\"font-size: 20.16px;\" width=\"513\"\u003e\n\u003c\/h3\u003e\n\u003ch2\u003e\n Prebuild system for edge AI integration\n\u003c\/h2\u003e\n\u003cp\u003e\n All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.\n\u003c\/p\u003e\n\u003cp\u003e\n NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.\n\u003c\/p\u003e\n\u003ch2\u003e\n Comparison between reComputer J2021 and Xavier NX dev kit\n\u003c\/h2\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    \u003ch3\u003e\n     NVIDIA Jetson Xavier NX Developer Kit\n    \u003c\/h3\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    \u003ch3\u003e\n     reComputer J2021\n    \u003c\/h3\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    Xavier NX (not production version)\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    Xavier NX (production version)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    21 TOPS\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    384-core NVIDIA Volta™ GPU\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    8 GB 128-bit LPDDR4x @ 51.2GB\/s\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    8 GB 128-bit LPDDR4x @59.7GB\/s\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    microSD (Card not included)\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    16 GB eMMC\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265\/H.264)\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)\n    \u003cp\u003e\n     2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265)\n    \u003cp\u003e\n     2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)\n    \u003cp\u003e\n     2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    4 * USB 3.1 Type A Connectors;\n    \u003cp\u003e\n     1 * Micro-USB port for Device mode;\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    4 * USB 3.1 Type A Connectors；\n    \u003cp\u003e\n     1 * USB-C port for Device mode;\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    1*HDMI Type A+ 1*DP\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    1* FAN(5V PWM)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    1*M.2 Key E(WiFi\/BT included)\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    1*M.2 Key E\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    1*M.2 Key M\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    -\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    RTC 2-pin\n    \u003cbr\u003e\n    RTC socket\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n    1* 40-Pin header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" style=\"text-align: center;\" width=\"574\"\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"292\"\u003e\n    103 mm x 90.5 mm x 31 mm\n   \u003c\/td\u003e\n   \u003ctd width=\"282\"\u003e\n    130mm x120mm x 50mm(with case)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\n Specifications\n\u003c\/h2\u003e\n\u003ch3\u003e\n Module Technical Specifications\n\u003c\/h3\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    Jetson Xavier NX\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    AI Performance\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    21 TOPS\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    GPU\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    384-core NVIDIA Volta™ GPU with 48 Tensor Cores\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    CPU\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Memory\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    8 GB 128-bit LPDDR4x 59.7GB\/s\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Storage\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    16 GB eMMC 5.1\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Power\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    10 W | 15 W | 20 W\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    PCIe\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT\/s*\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    CSI Camera\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    Up to 6 cameras (24 via virtual channels)\n    \u003cp\u003e\n     14 lanes (3x4 or 6x2) MIPI CSI-2, D-PHY 1.2 (up to 30 Gbps)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Video Encode\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)\n    \u003cp\u003e\n     2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Video Decode\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)\n    \u003cp\u003e\n     2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Display\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    2 multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    DL Accelerator\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    2x NVDLA Engines\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Vision Accelerator\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    7-Way VLIW Vision Processor\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Networking\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    10\/100\/1000 BASE-T Ethernet\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"119\"\u003e\n    Mechanical\n   \u003c\/td\u003e\n   \u003ctd width=\"450\"\u003e\n    260-pin SO-DIMM connector 69.6 mm x 45 mm\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\n Carrier Board Technical Specifications\n\u003c\/p\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    Jetson-20-1-H1\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\"\u003e\n     NVIDIA® Jetson Xavier™ NX DEVELOPER KIT\n    \u003c\/a\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Jetson module connector\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    USB 3.0 Type A\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    4*USB 3.0 Type-A Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    4*USB 3.0 Type-A Connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    USB Micro Type B\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*USB Micro B, RA Female\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*USB Micro B, RA Female\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Ethernet Port\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Display Port\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*HDMI type A and 1*DP\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*HDMI type A and 1*DP\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    CSI Camera Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    M.2 Key E\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*M.2 Key E Slot (75-pin) 2230\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*M.2 Key E Slot (75-pin) 2230\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    M.2 Key M\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*M.2 Key M Slot (75-pin) NVME 2280\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*M.2 Key M Slot (75-pin) NVME 2280\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Multifunctional Port\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    FAN Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    CAN\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*CAN Bus Header (1x4, 2.54mm pitch, RA)\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    Reserved\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    RTC\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*RTC Back-up Coin Cell Socket (CR1220)\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    Reserved\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Power\n   \u003c\/td\u003e\n   \u003ctd width=\"222\"\u003e\n    1*DC Input Power TE Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*DC Input Power TE Connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\n Part List\n\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n  1 x Acrylic Cover\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\n  1 x Aluminium Frame\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\n  1 x Jetson Xavier NX module\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\n  1 x Heatsink\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\n  1 x Carrier board\n \u003c\/li\u003e\n \u003cli class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n  1 x 12V\/5A(Barrel Jack 5.5\/2.1mm) Power Adapter (Power cable not included)\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\n 3V RTC battery (CR1220) is not inlcuded\n\u003c\/p\u003e\n","brand":"Unmanned Tech","offers":[{"title":"Default Title","offer_id":54197862662408,"sku":"110061381","price":689.99,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bidnamic.store\/products\/recomputer-j2021-edge-ai-computer-with-nvidia%c2%ae-jetson-xavier%e2%84%a2-nx-8gb","provider":"Bidnamic Store","version":"1.0","type":"link"}